{"id":"https://openalex.org/W2981396627","doi":"https://doi.org/10.1145/3343031.3351043","title":"Modality-aware Collaborative Learning for Visible Thermal Person Re-Identification","display_name":"Modality-aware Collaborative Learning for Visible Thermal Person Re-Identification","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981396627","doi":"https://doi.org/10.1145/3343031.3351043","mag":"2981396627"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3351043","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008999954","display_name":"Mang Ye","orcid":"https://orcid.org/0000-0003-3989-7655"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Mang Ye","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055543314","display_name":"Xiangyuan Lan","orcid":"https://orcid.org/0000-0001-8564-0346"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiangyuan Lan","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015552513","display_name":"Qingming Leng","orcid":"https://orcid.org/0000-0002-9395-5863"},"institutions":[{"id":"https://openalex.org/I134626604","display_name":"Jiujiang University","ror":"https://ror.org/0066vpg85","country_code":"CN","type":"education","lineage":["https://openalex.org/I134626604"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Leng","raw_affiliation_strings":["Jiujiang University, Jiujiang, China"],"affiliations":[{"raw_affiliation_string":"Jiujiang University, Jiujiang, China","institution_ids":["https://openalex.org/I134626604"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008999954"],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":7.1869,"has_fulltext":false,"cited_by_count":107,"citation_normalized_percentile":{"value":0.97674307,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"347","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.892917275428772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7503341436386108},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.742152214050293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6977155208587646},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6865410208702087},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5436974167823792},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.472474068403244},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4327295422554016},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4313390254974365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41095179319381714}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.892917275428772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503341436386108},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.742152214050293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6977155208587646},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6865410208702087},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5436974167823792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.472474068403244},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4327295422554016},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4313390254974365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41095179319381714},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3351043","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W1594368566","https://openalex.org/W1686810756","https://openalex.org/W1949591461","https://openalex.org/W2044800651","https://openalex.org/W2136995369","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2220271458","https://openalex.org/W2264380076","https://openalex.org/W2353169560","https://openalex.org/W2433217581","https://openalex.org/W2499468060","https://openalex.org/W2510970676","https://openalex.org/W2520433280","https://openalex.org/W2590973145","https://openalex.org/W2596603442","https://openalex.org/W2597851033","https://openalex.org/W2598634450","https://openalex.org/W2604463754","https://openalex.org/W2759194679","https://openalex.org/W2770076563","https://openalex.org/W2777534232","https://openalex.org/W2778100917","https://openalex.org/W2808134123","https://openalex.org/W2808260522","https://openalex.org/W2889360667","https://openalex.org/W2909593838","https://openalex.org/W2940928832","https://openalex.org/W2963373431","https://openalex.org/W2963557071","https://openalex.org/W2963777788","https://openalex.org/W2963882743","https://openalex.org/W2963901085","https://openalex.org/W2964130064","https://openalex.org/W2970390221","https://openalex.org/W2978329087","https://openalex.org/W3023742835","https://openalex.org/W3101862707","https://openalex.org/W3177525997"],"related_works":["https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W2944661354","https://openalex.org/W2050806332","https://openalex.org/W2061273563","https://openalex.org/W2905846897","https://openalex.org/W2573334707","https://openalex.org/W2970216048","https://openalex.org/W2507989420","https://openalex.org/W4386159699"],"abstract_inverted_index":{"Visible":[0],"thermal":[1,21],"person":[2,180],"re-identification":[3,181],"(VT-ReID)":[4],"is":[5],"a":[6,83,93,118,156],"cross-modality":[7,31,52,61,179],"pedestrian":[8,32],"retrieval":[9,33],"problem,":[10],"which":[11,98,160],"automatically":[12],"searches":[13],"persons":[14],"between":[15,172],"day-time":[16],"visible":[17],"images":[18],"and":[19,45,106,142,164],"night-time":[20],"images.":[22],"Despite":[23],"the":[24,30,100,114,139,145,162,170,184,187,195],"extensive":[25],"progress":[26],"in":[27,42,75,102],"single-modality":[28],"ReID,":[29],"problem":[34,58],"has":[35],"limited":[36],"attention":[37],"due":[38],"to":[39,137],"its":[40],"challenges":[41],"modality":[43,115],"discrepancy":[44,116],"large":[46],"intra-class":[47],"variations":[48],"across":[49],"cameras.":[50],"Existing":[51],"ReID":[53],"methods":[54],"usually":[55],"solve":[56],"this":[57,68,79],"by":[59,117,168],"learning":[60,69,88,158],"feature":[62,104,110],"representations":[63],"with":[64,121],"modality-sharable":[65,163],"classifier.":[66],"However,":[67],"strategy":[70],"may":[71],"lose":[72],"discriminative":[73],"information":[74],"different":[76,122,150,173],"modalities.":[77],"In":[78,109,124,152],"paper,":[80],"we":[81,154],"propose":[82],"novel":[84],"modality-aware":[85],"collaborative":[86,157],"(MAC)":[87],"method":[89],"on":[90,177],"top":[91],"of":[92,186],"two-stream":[94,119],"network":[95,120,147],"for":[96,134],"VT-ReID,":[97],"handles":[99,113],"modality-discrepancy":[101],"both":[103],"level":[105],"classifier":[107,125],"level.":[108],"level,":[111,126],"it":[112,127],"parameters.":[123,151],"contains":[128],"two":[129,135,178],"separate":[130],"modality-specific":[131,140,165],"identity":[132,166],"classifiers":[133,167],"modalities":[136],"capture":[138],"information,":[141],"they":[143],"have":[144],"same":[146],"architecture":[148],"but":[149],"addition,":[153],"introduce":[155],"scheme,":[159],"regularizes":[161],"utilizing":[169],"relationship":[171],"classifiers.":[174],"Extensive":[175],"experiments":[176],"datasets":[182],"demonstrate":[183],"superiority":[185],"proposed":[188],"method,":[189],"achieving":[190],"much":[191],"better":[192],"performance":[193],"than":[194],"state-of-the-art.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}